Noise Suppression via Gain‐Dispersion‐Managed Nonlinear Amplification in a High‐Power Er‐Fiber Laser
Gain‐dispersion‐managed nonlinear pre‐amplification simultaneously suppresses phase and intensity noise, enabling scalable high‐power fiber amplification. The system delivers 102.3 W linearly polarized pulses with 1.19 µJ energy at 85.69 MHz and compresses them to 380 fs. Near‐linear power scaling without evident saturation highlights a practical route
Mei Yang +9 more
wiley +1 more source
An analytical exploration of dark and bright solitary wave solutions of time-fractional (3+1) -dimensional generalized Painlevé-type equation. [PDF]
Khan M, Ali R, Alsulami IM, Alsulami A.
europepmc +1 more source
Recent Advances in Conductive Rubber Composites: Progress, Challenges, and Emerging Opportunities
This study reviews the recent advances in conductive rubber composites, focusing on key aspects such as material selection, conductive mechanisms, interfacial engineering, processing methods, vulcanization strategies, and practical applications. It also discusses current challenges and highlights emerging directions that are shaping the development of ...
Lu Yin +3 more
wiley +1 more source
Unveiling New Perspectives on the Hirota–Maccari System With Multiplicative White Noise
ABSTRACT In this study, we delve into the stochastic Hirota–Maccari system, which is subjected to multiplicative noise according to the Itô sense. The stochastic Hirota–Maccari system is significant for its ability to accurately model how stochastic affects nonlinear wave propagation, providing valuable insights into complex systems like fluid dynamics
Mohamed E. M. Alngar +3 more
wiley +1 more source
Comparison of neural and traditional techniques for soliton structures and dynamical behavior in a double-chain DNA model. [PDF]
Majid SZ, Sağlam FNK, Ullah MS.
europepmc +1 more source
Training Deep Learning Based Dynamic MR Image Reconstruction Using Synthetic Fractals
ABSTRACT Purpose To investigate whether synthetically generated fractal data can be used to train deep learning (DL) models for dynamic MRI reconstruction, thereby avoiding the privacy, licensing, and availability limitations associated with cardiac MR training datasets.
Anirudh Raman +10 more
wiley +1 more source
Analytical methods and Riccati neural networks method of Kudryashov's quintuple self-phase modulation with dual-form of generalized nonlocal nonlinearity. [PDF]
Yu D +7 more
europepmc +1 more source
ABSTRACT Purpose To validate the performance of an open‐source cardiac diffusion sequence framework and to investigate hardware‐based performance differences. Methods Three second order motion compensated sequence files were compiled using Pulseq and applied across different MRI systems to image five volunteers.
Eric Arbes +7 more
wiley +1 more source
Constructing optical soliton wave structure and modulation instability analysis for coupled fractional Lakshmanan-Porsezian-Daniel equation with Kerr's law nonlinearity. [PDF]
Aghazadeh A, Lakestani M.
europepmc +1 more source
Breather Wave and Kinky Periodic Wave Solutions of One-Dimensional Oskolkov Equation
Mamunur Roshid, Habibul Bashar
openaire +2 more sources

